NDLI: Swallowing Sound Characteristics in Healthy and Dysphagic Individuals

Content Provider	IEEE Xplore Digital Library
Author	Lazareck, L.J. Moussavi, Z.
Copyright Year	2004
Description	Author affiliation: Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Manitoba, Canada lisa.lazareck@eng.ox.ac.uk (Lazareck, L.J.)
Abstract	This paper proposes a non-invasive, acoustic-based method to differentiate between individuals with and without dysphagia or swallowing dysfunction. Swallowing sound signals, both normal and abnormal (i.e., at risk of some degree of dysphagia) were recorded with an accelerometer over the trachea. Segmentation based on waveform dimension trajectory (WDT, a distance-based technique) was developed to segment the non-stationary swallowing sound signals. Two characteristic sections emerged, Opening and Transmission, and 24 characteristic features were extracted and subsequently reduced via discriminant analysis. A discriminant algorithm was also employed for classification, with the system trained and tested using the leave-one-out approach. Overall, 350 signals were used from three bolus consistencies (semisolid, thick and thin liquids). A final screening algorithm correctly classified 13 of 15 control subjects and 11 of 11 subjects with some degree of dysphagia and/or neurological impairments. The proposed method has great potential to reduce the need for videofluoroscopic swallowing studies (the current gold standard method for swallowing assessment, which is invasive and non-portable) and the overall clinical assessment of swallowing sound signals.
Starting Page	3820
Ending Page	3823
File Size	157500
Page Count	4
File Format	PDF
ISBN	0780384393
DOI	10.1109/IEMBS.2004.1404070
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time measurement Signal analysis Head Neck Spinal cord injury Birth disorders Esophagus Acoustical engineering Councils X-rays waveform dimension Classification dysphagia segmentation signal analysis swallowing
Content Type	Text
Resource Type	Article

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